Introduction: Mapping of broad research field around LIST Department ITIS

Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:

The method for the research-field-mapping can be reviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Note: The analysis in this document depicts the larger research field around the department, thereby all analysis results are based on the publications of the department plus related

Seed Articles

Note: The seed articles deemed representative for the active areas of research in the institution, and include authors affiliated with the institution. The departments research field is identified by selecting the 2000 most similar publications to the selected seed articles. See Technical descriptionfor additional explanations.

AU PY TI JI
WANG J;JIN C;TANG Q;LIU Z;A… 2022 CRYPTOREC: NOVEL COLLABORATIVE FILTERING RECOMMENDER MADE PRIVACY-PRESERVING EASY IEEE TRANS. DEPENDABLE SECU…
YILMA BA;PANETTO H;NAUDET Y 2021 SYSTEMIC FORMALISATION OF CYBER-PHYSICAL-SOCIAL SYSTEM (CPSS): A SYSTEMATIC LITERATURE REVIEW COMPUT IND
MAYER N;AUBERT J 2021 A RISK MANAGEMENT FRAMEWORK FOR SECURITY AND INTEGRITY OF NETWORKS AND SERVICES J. RISK RES.
GUTIERREZ-GOMEZ L;PETRY F;K… 2020 A COMPARISON FRAMEWORK OF MACHINE LEARNING ALGORITHMS FOR MIXED-TYPE VARIABLES DATASETS: A CASE S… IEEE ACCESS
MAHJRI I;FAYE S;KHADRAOUI D 2019 IMPACT AND DEPLOYMENT OF DYNAMIC TRAFFIC LIGHT CONTROL STRATEGIES USING A CITY-WIDE SIMULATION SC… IEEE INTELL. TRANSP. SYST. …
MCGEE F;GHONIEM M;MELANÇON … 2019 THE STATE OF THE ART IN MULTILAYER NETWORK VISUALIZATION COMPUT GRAPHICS FORUM
MCCALL R;MCGEE F;MIRNIG A;M… 2019 A TAXONOMY OF AUTONOMOUS VEHICLE HANDOVER SITUATIONS TRANSP. RES. PART A POLICY …
MEULEPAS JM;RONCKERS CM;SME… 2019 RADIATION EXPOSURE FROM PEDIATRIC CT SCANS AND SUBSEQUENT CANCER RISK IN THE NETHERLANDS J. NATL. CANCER INST.

General Overview over the research field

Note: This section provides basic descriptives of th identified research fielld, including number of articles over time, countries, institutions, and authors. See Technical descriptionfor additional explanations.

Main Indicators: Publications, Authors, Countries

Connection between the research field’s Top Authors-Keywords-Journals

Topic modelling

Note: Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts. Identified topics can be interpreted as broad themes in the research field. See Technical descriptionfor additional explanations.

Topics by topwords

Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_list_itis.rds/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see ´Technical ´.

Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. Identified knowledge bases can be interpreted as the knowledge foundation the field draws from. See Technical descriptionfor additional explanations.

name dgr_int dgr
Knowledge Base 1: KB 1: Complex Networks, Complex Systems (n = 1073, density =7.72)
BULDYREV S.V. PARSHANI R. PAUL G. STANLEY H.E. HAVLIN S. CATASTROPHIC CASCADE OF FAILURES IN INTERDEPENDENT NETWORKS (2010) 4416 4416
KIVELÄ M. ARENAS A. BARTHELEMY M. GLEESON J.P. MORENO Y. PORTER M.A. MULTILAYER NETWORKS (2014) 2737 2740
GAO J. BULDYREV S.V. STANLEY H.E. HAVLIN S. NETWORKS FORMED FROM INTERDEPENDENT NETWORKS (2012) 2195 2198
BATTISTON F. NICOSIA V. LATORA V. STRUCTURAL MEASURES FOR MULTIPLEX NETWORKS (2014) 1502 1505
PARSHANI R. BULDYREV S.V. HAVLIN S. INTERDEPENDENT NETWORKS: REDUCING THE COUPLING STRENGTH LEADS TO A CHANGE FROM A FIRST TO SECOND ORDER PERCOLAT… 1331 1331
DE DOMENICO M. NICOSIA V. ARENAS A. LATORA V. STRUCTURAL REDUCIBILITY OF MULTILAYER NETWORKS (2015) 1324 1324
BOCCALETTI S. THE STRUCTURE AND DYNAMICS OF MULTILAYER NETWORKS (2014) 1160 1160
GAO J. BULDYREV S.V. HAVLIN S. STANLEY H.E. ROBUSTNESS OF A NETWORK OF NETWORKS (2011) 1114 1114
DE DOMENICO M. GRANELL C. PORTER M.A. ARENAS A. THE PHYSICS OF SPREADING PROCESSES IN MULTILAYER NETWORKS (2016) 1041 1041
SZELL M. LAMBIOTTE R. THURNER S. MULTIRELATIONAL ORGANIZATION OF LARGE-SCALE SOCIAL NETWORKS IN AN ONLINE WORLD (2010) 1021 1021
Knowledge Base 2: KB 2: Human Factors in Automated Systems (n = 976, density =4.75)
PARASURAMAN R. SHERIDAN T.B. WICKENS C.D. A MODEL FOR TYPES AND LEVELS OF HUMAN INTERACTION WITH AUTOMATION (2000) 3730 3739
LEE J.D. SEE K.A. TRUST IN AUTOMATION: DESIGNING FOR APPROPRIATE RELIANCE (2004) 2118 2118
PARASURAMAN R. RILEY V. HUMANS AND AUTOMATION: USE MISUSE DISUSE ABUSE (1997) 1523 1523
ENDSLEY M.R. TOWARD A THEORY OF SITUATION AWARENESS IN DYNAMIC SYSTEMS (1995) 1221 1221
BAINBRIDGE L. IRONIES OF AUTOMATION (1983) 1008 1008
ENDSLEY M.R. KIRIS E.O. THE OUT-OF-THE-LOOP PERFORMANCE PROBLEM AND LEVEL OF CONTROL IN AUTOMATION (1995) 963 963
SHERIDAN T.B. VERPLANK W.L. (1978) 688 688
HART S.G. STAVELAND L.E. DEVELOPMENT OF NASA-TLX (TASK LOAD INDEX) 606 606
ENDSLEY M.R. SITUATION AWARENESS GLOBAL ASSESSMENT TECHNIQUE (SAGAT) 485 485
KABER D.B. ENDSLEY M.R. THE EFFECTS OF LEVEL OF AUTOMATION AND ADAPTIVE AUTOMATION ON HUMAN PERFORMANCE SITUATION AWARENESS AND WORKLOAD IN A DYNAM… 474 474
Knowledge Base 3: KB 3: Privacy Protection for Collaborative Data Analysis (n = 854, density =9.53)
DWORK C. MCSHERRY F. NISSIM K. SMITH A. CALIBRATING NOISE TO SENSITIVITY IN PRIVATE DATA ANALYSIS (2006) 4599 5076
DWORK C. ROTH A. THE ALGORITHMIC FOUNDATIONS OF DIFFERENTIAL PRIVACY (2014) 4381 4920
SHOKRI R. SHMATIKOV V. PRIVACY-PRESERVING DEEP LEARNING (2015) 2344 3783
DWORK C. KENTHAPADI K. MCSHERRY F. MIRONOV I. NAOR M. OUR DATA OURSELVES: PRIVACY VIA DISTRIBUTED NOISE GENERATION (2006) 1645 1744
CHAUDHURI K. MONTELEONI C. SARWATE A.D. DIFFERENTIALLY PRIVATE EMPIRICAL RISK MINIMIZATION (2011) 1484 1589
SHOKRI R. STRONATI M. SONG C. SHMATIKOV V. MEMBERSHIP INFERENCE ATTACKS AGAINST MACHINE LEARNING MODELS (2017) 1480 1934
MCSHERRY F. TALWAR K. MECHANISM DESIGN VIA DIFFERENTIAL PRIVACY (2007) 1447 1493
DWORK C. DIFFERENTIAL PRIVACY: A SURVEY OF RESULTS (2008) 1413 1736
FREDRIKSON M. JHA S. RISTENPART T. MODEL INVERSION ATTACKS THAT EXPLOIT CONFIDENCE INFORMATION AND BASIC COUNTERMEASURES (2015) 1387 1860
ABADI M. CHU A. GOODFELLOW I. MCMAHAN H.B. MIRONOV I. TALWAR K. ZHANG L. DEEP LEARNING WITH DIFFERENTIAL PRIVACY (2016) 1355 1780
Knowledge Base 4: KB 4: Encryption Technologies for Data Protection (n = 737, density =10.28)
GENTRY C. FULLY HOMOMORPHIC ENCRYPTION USING IDEAL LATTICES (2009) 2152 2422
FAN J. VERCAUTEREN F. SOMEWHAT PRACTICAL FULLY HOMOMORPHIC ENCRYPTION (2012) 1888 1948
PAILLIER P. PUBLIC-KEY CRYPTOSYSTEMS BASED ON COMPOSITE DEGREE RESIDUOSITY CLASSES (1999) 1821 2149
LIU J. JUUTI M. LU Y. ASOKAN N. OBLIVIOUS NEURAL NETWORK PREDICTIONS VIA MINIONN TRANSFORMATIONS (2017) 1601 1934
MOHASSEL P. ZHANG Y. SECUREML: A SYSTEM FOR SCALABLE PRIVACY-PRESERVING MACHINE LEARNING (2017) 1517 2024
GILAD-BACHRACH R. DOWLIN N. LAINE K. LAUTER K. NAEHRIG M. WERNSING J. CRYPTONETS: APPLYING NEURAL NETWORKS TO ENCRYPTED DATA WITH HIGH THROUGHPUT A… 1205 1681
BRAKERSKI Z. GENTRY C. VAIKUNTANATHAN V. (LEVELED) 1152 1223
BRAKERSKI Z. FULLY HOMOMORPHIC ENCRYPTION WITHOUT MODULUS SWITCHING FROM CLASSICAL GAPSVP (2012) 1076 1103
CHEON J.H. KIM A. KIM M. SONG Y. HOMOMORPHIC ENCRYPTION FOR ARITHMETIC OF APPROXIMATE NUMBERS (2017) 933 954
JUVEKAR C. VAIKUNTANATHAN V. CHANDRAKASAN A. GAZELLE: A LOW LATENCY FRAMEWORK FOR SECURE NEURAL NETWORK INFERENCE (2018) 918 1048
Knowledge Base 5: KB 5: Visualisation (n = 704, density =4.52)
BREHMER M. MUNZNER T. A MULTI-LEVEL TYPOLOGY OF ABSTRACT VISUALIZATION TASKS (2013) 839 839
LEE B. PLAISANT C. PARR C.S. FEKETE J.-D. HENRY N. TASK TAXONOMY FOR GRAPH VISUALIZATION (2006) 587 587
HOLTEN D. HIERARCHICAL EDGE BUNDLES: VISUALIZATION OF ADJACENCY RELATIONS IN HIERARCHICAL DATA (2006) 524 537
SHNEIDERMAN B. THE EYES HAVE IT: A TASK BY DATA TYPE TAXONOMY FOR INFORMATION VISUALIZATIONS (1996) 499 514
GLEICHER M. ALBERS D. WALKER R. JUSUFI I. HANSEN C.D. ROBERTS J.C. VISUAL COMPARISON FOR INFORMATION VISUALIZATION (2011) 406 406
HOLTEN D. VAN WIJK J.J. FORCE-DIRECTED EDGE BUNDLING FOR GRAPH VISUALIZATION (2009) 363 363
MUNZNER T. A NESTED MODEL FOR VISUALIZATION DESIGN AND VALIDATION (2009) 353 353
MUNZNER T. (2014) 328 328
BECK F. BURCH M. DIEHL S. WEISKOPF D. THE STATE OF THE ART IN VISUALIZING DYNAMIC GRAPHS (2014) 305 308
BURCH M. VEHLOW C. BECK F. DIEHL S. WEISKOPF D. PARALLEL EDGE SPLATTING FOR SCALABLE DYNAMIC GRAPH VISUALIZATION (2011) 249 249
Knowledge Base 6: KB 6: Machine Learning (n = 534, density =9.15)
BREIMAN L. RANDOM FORESTS (2001) 3748 3914
FRIEDMAN J.H. GREEDY FUNCTION APPROXIMATION: A GRADIENT BOOSTING MACHINE (2001) 2018 2070
BREIMAN L. BAGGING PREDICTORS (1996) 934 974
DEMŠAR J. STATISTICAL COMPARISONS OF CLASSIFIERS OVER MULTIPLE DATA SETS (2006) 914 920
BERGSTRA J. BENGIO Y. RANDOM SEARCH FOR HYPER-PARAMETER OPTIMIZATION (2012) 890 1068
CHEN T. GUESTRIN C. XGBOOST: A SCALABLE TREE BOOSTING SYSTEM (2016) 726 762
ALTMAN N.S. AN INTRODUCTION TO KERNEL AND NEAREST-NEIGHBOR NONPARAMETRIC REGRESSION (1992) 621 639
BROWN I. MUES C. AN EXPERIMENTAL COMPARISON OF CLASSIFICATION ALGORITHMS FOR IMBALANCED CREDIT SCORING DATA SETS (2012) 615 615
CORTES C. VAPNIK V. SUPPORT-VECTOR NETWORKS (1995) 545 549
GEURTS P. ERNST D. WEHENKEL L. EXTREMELY RANDOMIZED TREES (2006) 277 281
Knowledge Base 7: KB 7: Medical Imaging Analysis (n = 439, density =11.17)
PEARCE M.S. SALOTTI J.A. LITTLE M.P. RADIATION EXPOSURE FROM CT SCANS IN CHILDHOOD AND SUBSEQUENT RISK OF LEUKAEMIA AND BRAIN TUMOURS: A RETROSPECT… 1553 1553
MATHEWS J.D. FORSYTHE A.V. BRADY Z. CANCER RISK IN 680 000 PEOPLE EXPOSED TO COMPUTED TOMOGRAPHY SCANS IN CHILDHOOD OR ADOLESCENCE: DATA LINKAGE ST… 1088 1088
MIGLIORETTI D.L. JOHNSON E. WILLIAMS A. THE USE OF COMPUTED TOMOGRAPHY IN PEDIATRICS AND THE ASSOCIATED RADIATION EXPOSURE AND ESTIMATED CANCER RIS… 648 648
SIEGEL J.A. PENNINGTON C.W. SACKS B. SUBJECTING RADIOLOGIC IMAGING TO THE LINEAR NO-THRESHOLD HYPOTHESIS: A NON SEQUITUR OF NON-TRIVIAL PROPORTION … 334 334
OZASA K. SHIMIZU Y. SUYAMA A. STUDIES OF THE MORTALITY OF ATOMIC BOMB SURVIVORS REPORT 14 1950-2003: AN OVERVIEW OF CANCER AND NONCANCER DISEASES (… 333 333
SIEGEL J.A. WELSH J.S. DOES IMAGING TECHNOLOGY CAUSE CANCER? DEBUNKING THE LINEAR NO-THRESHOLD MODEL OF RADIATION CARCINOGENESIS (2016) 318 318
JOURNY N. REHEL J.L. DUCOU LE POINTE H. ARE THE STUDIES ON CANCER RISK FROM CT SCANS BIASED BY INDICATION? ELEMENTS OF ANSWER FROM A LARGE-SCALE CO… 304 304
BOUTIS K. COGOLLO W. FISCHER J. FREEDMAN S.B. BEN DAVID G. THOMAS K.E. PARENTAL KNOWLEDGE OF POTENTIAL CANCER RISKS FROM EXPOSURE TO COMPUTED TOMOG… 293 293
PEARCE M.S. SALOTTI J.A. LITTLE M.P. MCHUGH K. LEE C. KIM K.P. RADIATION EXPOSURE FROM CT SCANS IN CHILDHOOD AND SUBSEQUENT RISK OF LEUKAEMIA AND B… 259 259
CALABRESE E.J. DHAWAN G. KAPOOR R. KOZUMBO W.J. RADIOTHERAPY TREATMENT OF HUMAN INFLAMMATORY DISEASES AND CONDITIONS: OPTIMAL DOSE (2019) 250 250

Research Areas: Bibliographic coupling analysis

Note: This analysis refers the bibliographic coupling analysis, where original publications are the unit of analysis. Identified research areas can be interpreted as the field’s current research frontier. See Technical descriptionfor additional explanations.

AU PY TI dgr_int TC TC_year
Research Area 1: RA 1: Machine Learning Techniques (n = 881, density =0.72)
CHEN T;GUESTRIN C 2016 XGBOOST: A SCALABLE TREE BOOSTING SYSTEM 3.43 11484 1914.00
XIA Y;LIU C;LI Y;LIU N 2017 A BOOSTED DECISION TREE APPROACH USING BAYESIAN HYPER-PARAMETER OPTIMIZATION FOR CREDIT SCORING 17.41 347 69.40
NAIMI B;ARAÚJO MB 2016 SDM: A REPRODUCIBLE AND EXTENSIBLE R PLATFORM FOR SPECIES DISTRIBUTION MODELLING 7.75 315 52.50
ZHANG C;LIU C;ZHANG X;… 2017 AN UP-TO-DATE COMPARISON OF STATE-OF-THE-ART CLASSIFICATION ALGORITHMS 8.69 220 44.00
XU G;WU H-Z;SHI YQ 2016 ENSEMBLE OF CNNS FOR STEGANALYSIS: AN EMPIRICAL STUDY 16.39 104 17.33
VRABLECOVÁ P;BOU EZZED… 2018 SMART GRID LOAD FORECASTING USING ONLINE SUPPORT VECTOR REGRESSION 18.70 80 20.00
BENTÉJAC C;CSÖRGŐ A;MA… 2021 A COMPARATIVE ANALYSIS OF GRADIENT BOOSTING ALGORITHMS 19.46 76 76.00
SHERIDAN RP;WANG WM;LI… 2016 EXTREME GRADIENT BOOSTING AS A METHOD FOR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS 7.63 173 28.83
PROBST P;BOULESTEIX A-L 2018 TO TUNE OR NOT TO TUNE THE NUMBER OF TREES IN RANDOM FOREST 15.67 84 21.00
MANGALATHU S;JANG H;HW… 2020 DATA-DRIVEN MACHINE-LEARNING-BASED SEISMIC FAILURE MODE IDENTIFICATION OF REINFORCED CONCRETE SHEAR WALLS 14.30 80 40.00
Research Area 2: RA 2: Human Automation (n = 752, density =0.27)
ENDSLEY MR 2017 FROM HERE TO AUTONOMY: LESSONS LEARNED FROM HUMAN-AUTOMATION RESEARCH 4.92 258 51.60
ERIKSSON A;STANTON NA 2017 TAKEOVER TIME IN HIGHLY AUTOMATED VEHICLES: NONCRITICAL TRANSITIONS TO AND FROM MANUAL CONTROL 3.51 321 64.20
MERCADO JE;RUPP MA;CHE… 2016 INTELLIGENT AGENT TRANSPARENCY IN HUMAN-AGENT TEAMING FOR MULTI-UXV MANAGEMENT 4.52 147 24.50
PAYRE W;CESTAC J;DELHO… 2016 FULLY AUTOMATED DRIVING: IMPACT OF TRUST AND PRACTICE ON MANUAL CONTROL RECOVERY 5.12 119 19.83
ENDSLEY MR 2018 AUTOMATION AND SITUATION AWARENESS 2.22 260 65.00
SCHAEFER KE;CHEN JYC;S… 2016 A META-ANALYSIS OF FACTORS INFLUENCING THE DEVELOPMENT OF TRUST IN AUTOMATION: IMPLICATIONS FOR UNDERSTANDING AUTONOMY IN … 1.99 284 47.33
KABER DB 2018 ISSUES IN HUMAN–AUTOMATION INTERACTION MODELING: PRESUMPTIVE ASPECTS OF FRAMEWORKS OF TYPES AND LEVELS OF AUTOMATION 8.35 66 16.50
NOY IY;SHINAR D;HORREY WJ 2018 AUTOMATED DRIVING: SAFETY BLIND SPOTS 5.54 99 24.75
LU Z;HAPPEE R;CABRALL … 2016 HUMAN FACTORS OF TRANSITIONS IN AUTOMATED DRIVING: A GENERAL FRAMEWORK AND LITERATURE SURVEY 4.73 108 18.00
SHNEIDERMAN B 2020 HUMAN-CENTERED ARTIFICIAL INTELLIGENCE: RELIABLE, SAFE & TRUSTWORTHY 3.10 154 77.00
Research Area 3: RA 3: Privacy Protection and AI (n = 597, density =1.26)
ABADI M;MCMAHAN HB;CHU… 2016 DEEP LEARNING WITH DIFFERENTIAL PRIVACY 14.91 1323 220.50
BONAWITZ K;IVANOV V;KR… 2017 PRACTICAL SECURE AGGREGATION FOR PRIVACY-PRESERVING MACHINE LEARNING 10.28 712 142.40
NASR M;SHOKRI R;HOUMAN… 2019 COMPREHENSIVE PRIVACY ANALYSIS OF DEEP LEARNING: PASSIVE AND ACTIVE WHITE-BOX INFERENCE ATTACKS AGAINST CENTRALIZED AND FE… 18.81 262 87.33
HITAJ B;ATENIESE G;PER… 2017 DEEP MODELS UNDER THE GAN: INFORMATION LEAKAGE FROM COLLABORATIVE DEEP LEARNING 9.92 416 83.20
PAPERNOT N;SONG S;MIRO… 2018 SCALABLE PRIVATE LEARNING WITH PATE 20.04 164 41.00
TRUEX S;STEINKE T;BARA… 2019 A HYBRID APPROACH TO PRIVACY-PRESERVING FEDERATED LEARNING 15.55 139 46.33
PAPERNOT N;GOODFELLOW … 2017 SEMI-SUPERVISED KNOWLEDGE TRANSFER FOR DEEP LEARNING FROM PRIVATE TRAINING DATA 21.07 99 19.80
JAYARAMAN B;EVANS D 2019 EVALUATING DIFFERENTIALLY PRIVATE MACHINE LEARNING IN PRACTICE 15.13 110 36.67
ZHU T;LI G;ZHOU W;YU PS 2017 DIFFERENTIALLY PRIVATE DATA PUBLISHING AND ANALYSIS: A SURVEY 10.87 152 30.40
YU L;LIU L;PU C;GURSOY… 2019 DIFFERENTIALLY PRIVATE MODEL PUBLISHING FOR DEEP LEARNING 21.22 77 25.67
Research Area 4: RA 4: Multilayer Network (n = 596, density =0.56)
DE DOMENICO M;GRANELL … 2016 THE PHYSICS OF SPREADING PROCESSES IN MULTILAYER NETWORKS 12.04 336 56.00
BIANCONI G 2018 MULTILAYER NETWORKS: STRUCTURE AND FUNCTION 6.34 175 43.75
LIU X;STANLEY HE;GAO J 2016 BREAKDOWN OF INTERDEPENDENT DIRECTED NETWORKS 10.42 89 14.83
RADICCHI F;BIANCONI G 2017 REDUNDANT INTERDEPENDENCIES BOOST THE ROBUSTNESS OF MULTIPLEX NETWORKS 13.22 58 11.60
MAJHI S;PERC M;GHOSH D 2016 CHIMERA STATES IN UNCOUPLED NEURONS INDUCED BY A MULTILAYER STRUCTURE 4.58 161 26.83
DEL GENIO CI;GÓMEZ-GAR… 2016 SYNCHRONIZATION IN NETWORKS WITH MULTIPLE INTERACTION LAYERS 9.22 79 13.17
YUAN X;HU Y;STANLEY HE… 2017 ERADICATING CATASTROPHIC COLLAPSE IN INTERDEPENDENT NETWORKS VIA REINFORCED NODES 8.65 77 15.40
MAJDANDZIC A;BRAUNSTEI… 2016 MULTIPLE TIPPING POINTS AND OPTIMAL REPAIRING IN INTERACTING NETWORKS 9.19 70 11.67
SHEKHTMAN LM;DANZIGER … 2016 RECENT ADVANCES ON FAILURE AND RECOVERY IN NETWORKS OF NETWORKS 9.13 69 11.50
HACKETT A;CELLAI D;GÓM… 2016 BOND PERCOLATION ON MULTIPLEX NETWORKS 10.70 58 9.67
Research Area 5: RA 5: IT for Radiation Protection (n = 460, density =0.41)
BABL FE;BORLAND ML;PHI… 2017 ACCURACY OF PECARN, CATCH, AND CHALICE HEAD INJURY DECISION RULES IN CHILDREN: A PROSPECTIVE COHORT STUDY 8.53 147 29.40
PATEL AP;FISHER JL;NIC… 2019 GLOBAL, REGIONAL, AND NATIONAL BURDEN OF BRAIN AND OTHER CNS CANCER, 1990–2016: A SYSTEMATIC ANALYSIS FOR THE GLOBAL BURDE… 3.10 214 71.33
HONG J-Y;HAN K;JUNG J-… 2019 ASSOCIATION OF EXPOSURE TO DIAGNOSTIC LOW-DOSE IONIZING RADIATION WITH RISK OF CANCER AMONG YOUTHS IN SOUTH KOREA 7.06 64 21.33
MOORE MM;KULAYLAT AN;H… 2016 MAGNETIC RESONANCE IMAGING IN PEDIATRIC APPENDICITIS: A SYSTEMATIC REVIEW 6.19 57 9.50
MEULEPAS JM;RONCKERS C… 2019 RADIATION EXPOSURE FROM PEDIATRIC CT SCANS AND SUBSEQUENT CANCER RISK IN THE NETHERLANDS 2.74 119 39.67
SMITH-BINDMAN R;WANG Y… 2019 INTERNATIONAL VARIATION IN RADIATION DOSE FOR COMPUTED TOMOGRAPHY EXAMINATIONS: PROSPECTIVE COHORT STUDY 3.83 77 25.67
BELLOLIO MF;HEIEN HC;S… 2017 INCREASED COMPUTED TOMOGRAPHY UTILIZATION IN THE EMERGENCY DEPARTMENT AND ITS ASSOCIATION WITH HOSPITAL ADMISSION 4.57 60 12.00
REHANI MM;YANG K;MELIC… 2020 PATIENTS UNDERGOING RECURRENT CT SCANS: ASSESSING THE MAGNITUDE 3.41 77 38.50
NAGAYAMA Y;ODA S;NAKAU… 2018 RADIATION DOSE REDUCTION AT PEDIATRIC CT: USE OF LOW TUBE VOLTAGE AND ITERATIVE RECONSTRUCTION 5.38 42 10.50
WURZEL DF;MARCHANT JM;… 2016 PROTRACTED BACTERIAL BRONCHITIS IN CHILDREN: NATURAL HISTORY AND RISK FACTORS FOR BRONCHIECTASIS 2.97 71 11.83
Research Area 6: RA 6: Recommender Systems (n = 440, density =0.33)
TANG J;WANG K 2018 PERSONALIZED TOP-N SEQUENTIAL RECOMMENDATION VIA CONVOLUTIONAL SEQUENCE EMBEDDING 3.89 488 122.00
LI J;REN P;CHEN Z;REN … 2017 NEURAL ATTENTIVE SESSION-BASED RECOMMENDATION 2.93 511 102.20
YU F;LIU Q;WU S;WANG L… 2016 A DYNAMIC RECURRENT MODEL FOR NEXT BASKET RECOMMENDATION 2.75 256 42.67
LIN K;ZHAO R;XU Z;ZHOU J 2018 EFFICIENT LARGE-SCALE FLEET MANAGEMENT VIA MULTI-AGENT DEEP REINFORCEMENT LEARNING 3.48 135 33.75
MAN T;SHEN H;JIN X;CHE… 2017 CROSS-DOMAIN RECOMMENDATION: AN EMBEDDING AND MAPPING APPROACH 4.03 116 23.20
YU X;JIANG F;DU J;GONG D 2019 A CROSS-DOMAIN COLLABORATIVE FILTERING ALGORITHM WITH EXPANDING USER AND ITEM FEATURES VIA THE LATENT FACTOR SPACE OF AUXI… 2.73 117 39.00
CHAE D-K;KIM S-W;KANG … 2018 CFGAN: A GENERIC COLLABORATIVE FILTERING FRAMEWORK BASED ON GENERATIVE ADVERSARIAL NETWORKS 2.59 98 24.50
ZHENG Y;TANG B;DING W;… 2016 A NEURAL AUTOREGRESSIVE APPROACH TO COLLABORATIVE FILTERING 3.38 73 12.17
TORRADO RR;BONTRAGER P… 2018 DEEP REINFORCEMENT LEARNING FOR GENERAL VIDEO GAME AI 4.20 51 12.75
LI P;TUZHILIN A 2020 DDTCDR: DEEP DUAL TRANSFER CROSS DOMAIN RECOMMENDATION 4.62 45 22.50
Research Area 7: RA 7: Visual Analytics (n = 376, density =0.27)
SATYANARAYAN A;MORITZ … 2017 VEGA-LITE: A GRAMMAR OF INTERACTIVE GRAPHICS 1.07 315 63.00
WONGSUPHASAWAT K;MORIT… 2016 VOYAGER: EXPLORATORY ANALYSIS VIA FACETED BROWSING OF VISUALIZATION RECOMMENDATIONS 1.29 236 39.33
BECK F;BURCH M;DIEHL S… 2017 A TAXONOMY AND SURVEY OF DYNAMIC GRAPH VISUALIZATION 1.73 162 32.40
GLEICHER M 2018 CONSIDERATIONS FOR VISUALIZING COMPARISON 3.20 84 21.00
VON LANDESBERGER T;BRO… 2016 MOBILITYGRAPHS: VISUAL ANALYSIS OF MASS MOBILITY DYNAMICS VIA SPATIO-TEMPORAL GRAPHS AND CLUSTERING 1.69 142 23.67
LAM H;TORY M;MUNZNER T 2018 BRIDGING FROM GOALS TO TASKS WITH DESIGN STUDY ANALYSIS REPORTS 3.20 33 8.25
WU Y;PITIPORNVIVAT N;Z… 2016 EGOSLIDER: VISUAL ANALYSIS OF EGOCENTRIC NETWORK EVOLUTION 1.41 72 12.00
SRINIVASAN A;STASKO J 2018 ORKO: FACILITATING MULTIMODAL INTERACTION FOR VISUAL EXPLORATION AND ANALYSIS OF NETWORKS 1.64 62 15.50
ANDRIENKO G;ANDRIENKO … 2017 REVEALING PATTERNS AND TRENDS OF MASS MOBILITY THROUGH SPATIAL AND TEMPORAL ABSTRACTION OF ORIGIN-DESTINATION MOVEMENT DATA 1.46 68 13.60
LIU D;WENG D;LI Y;BAO … 2017 SMARTADP: VISUAL ANALYTICS OF LARGE-SCALE TAXI TRAJECTORIES FOR SELECTING BILLBOARD LOCATIONS 0.82 117 23.40
Research Area 8: RA 8: Security and Privacy protection for Machine Learning tasks (n = 373, density =1.15)
YANG Q;LIU Y;CHEN T;TO… 2019 FEDERATED MACHINE LEARNING: CONCEPT AND APPLICATIONS 4.02 1279 426.33
MOHASSEL P;ZHANG Y 2017 SECUREML: A SYSTEM FOR SCALABLE PRIVACY-PRESERVING MACHINE LEARNING 4.37 589 117.80
JUVEKAR C;VAIKUNTANATH… 2018 GAZELLE: A LOW LATENCY FRAMEWORK FOR SECURE NEURAL NETWORK INFERENCE 10.61 222 55.50
LIU J;JUUTI M;LU Y;ASO… 2017 OBLIVIOUS NEURAL NETWORK PREDICTIONS VIA MINIONN TRANSFORMATIONS 4.93 240 48.00
JIANG X;LAUTER K;KIM M… 2018 SECURE OUTSOURCED MATRIX COMPUTATION AND APPLICATION TO NEURAL NETWORKS 12.70 82 20.50
CHEON JH;HAN K;KIM A;K… 2018 BOOTSTRAPPING FOR APPROXIMATE HOMOMORPHIC ENCRYPTION 11.83 74 18.50
SADEGH RIAZI M;SONGHOR… 2018 CHAMELEON: A HYBRID SECURE COMPUTATION FRAMEWORK FOR MACHINE LEARNING APPLICATIONS 6.14 132 33.00
MOHASSEL P;RINDAL P 2018 ABY3: A MIXED PROTOCOL FRAMEWORK FOR MACHINE LEARNING 3.77 199 49.75
SADEGH RIAZI M;SAMRAGH… 2019 XONN: XNOR-BASED OBLIVIOUS DEEP NEURAL NETWORK INFERENCE 9.99 75 25.00
DOWLIN N;GILAD-BACHRAC… 2017 MANUAL FOR USING HOMOMORPHIC ENCRYPTION FOR BIOINFORMATICS: THIS PAPER PROVIDES A NEW HOMOMORPHIC ENCRYPTION ALGORITHM AND… 10.41 52 10.40

Knowledge Bases, Research Areas & Topics Interaction

Endnotes

All results are preliminary so far…